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Scale-invariant Feature Extraction of Neural Network and Renormalization
  Group Flow

Scale-invariant Feature Extraction of Neural Network and Renormalization Group Flow

22 January 2018
S. Iso
Shotaro Shiba
Sumito Yokoo
    OOD
    AI4CE
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Papers citing "Scale-invariant Feature Extraction of Neural Network and Renormalization Group Flow"

4 / 4 papers shown
Title
Towards quantifying information flows: relative entropy in deep neural
  networks and the renormalization group
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
J. Erdmenger
Kevin T. Grosvenor
R. Jefferson
46
17
0
14 Jul 2021
Adding machine learning within Hamiltonians: Renormalization group
  transformations, symmetry breaking and restoration
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
Dimitrios Bachtis
Gert Aarts
B. Lucini
AI4CE
15
19
0
30 Sep 2020
Learning the Ising Model with Generative Neural Networks
Learning the Ising Model with Generative Neural Networks
Francesco DÁngelo
Lucas Böttcher
AI4CE
6
28
0
15 Jan 2020
Advanced Mean Field Theory of Restricted Boltzmann Machine
Advanced Mean Field Theory of Restricted Boltzmann Machine
Haiping Huang
Taro Toyoizumi
37
34
0
01 Feb 2015
1